@HaedongK Profile picture

Haedong Kim

@HaedongK

Postdoc with @JShendure @UWgenome. WRF postdoctoral fellow. Interested in developing and applying high-throughput approaches to study gene regulations.

Joined March 2019
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Pinned

Check out our recent back-to-back papers on how human DICER produces microRNAs in cells! (Really thank @MeisterLab for this beautiful N&V!)

MicroRNA uses a gym to get fit for cuts by Dicer enzyme. A terrific N&V by @MeisterLab discusses new discoveries about how Dicer functions. go.nature.com/3lT1EHj



Haedong Kim Reposted

Genome engineering excelled at small nucleotide changes, but large edits remained challenging. Recent innovations are changing this. We reviewed the field of structural variant engineering @NatureGenet 🧬 @JulianeWeller @TVanderstichele @LeopoldParts nature.com/articles/s4158…


Haedong Kim Reposted

Excited to share my PhD work in @Agnelsfeir’s lab describing a method to engineer mitochondrial DNA deletions in human cells and our exploration of how cellular metabolism and transcription respond to deletion heteroplasmy. biorxiv.org/content/10.110… 1/19


Haedong Kim Reposted

Beyond stoked to share our latest, entitled “Diversified, miniaturized and ancestral parts for mammalian genome engineering and molecular recording” ! biorxiv.org/content/10.110…

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Haedong Kim Reposted

Very happy to share our latest w/ @dschweppe1 and @Nobu_Hamazaki labs, where we map the temporal dynamics and proteomic landscape of mammalian gastruloids. Sneek Peak 🧵below #stembryo #gastruloid #proteomics biorxiv.org/content/10.110…


Haedong Kim Reposted

Our paper ‘Whole-embryo Spatial Transcriptomics at Subcellular Resolution from Gastrulation to Organogenesis’ is now on biorxiv! We introduce weMERFISH, a platform for profiling gene expression in entire embryos at subcellular resolution. Here is🧵biorxiv.org/content/10.110… (1/12)


Haedong Kim Reposted

Excited to share my postdoc work from the @schierlab This project was a joint effort with many collaborators @seeliglab, @castillohair,Lucia Du, @YiqunWang3,@adamcarte,@mcolomerr, Chris Yin. 1/20 biorxiv.org/content/10.110…


Truly amazing work!! Congrats to all involved!!

Excited to share our human RA-gastruloid model in @NatureCellBio! Early retinoic acid supplementation, followed by later Matrigel addition, robustly induces human embryonic morphologies and diverse cell lineages, including somitic, renal, cardiac, and neural cell types in…

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Haedong Kim Reposted

Today out in @biorxivpreprint we present SCOPE. An optics-free, self-registering array of DNA encoded beads for spatial genomics. This was work led by the intrepid duo of Hanna Liao and Sanjay Kottapalli, with @JShendure's lab. biorxiv.org/content/10.110…


Haedong Kim Reposted

Super excited to share that ENGRAM is out today! ENGRAM cells are programmed to write their histories into the genome, recording the intensity, duration, and order of biological events simultaneously. nature.com/articles/s4158…


Haedong Kim Reposted

Our paper exploring the effect of chromatin on prime editing and diverse pegRNA designs was published today! 👨‍💻🧬🎉 rdcu.be/dLu0f pridict.it @UZH_Science @NatureBiotech @schwanklab @krauthammerlab @bvansteensellab 🧵

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Haedong Kim Reposted

Thrilled to share the culmination of 4 years of #Fiberseq research enabling the accurate quantification of chromatin accessibility across the 6 Gbp diploid human genome with single-molecule and single-nucleotide precision. See thread for the main findings biorxiv.org/content/10.110…


Haedong Kim Reposted

Our DNA Typewriter protocol (written by @LiaoHanna, @JShendure, and myself) is out! Thank you @NatureProtocols for writing/editing this with us and having it as this week’s #FeaturedProtocol :-)

#FeaturedProtocol this week from Jay Shendure on using #DNATypewriter (#primeediting-based method) for tracing insertional events bit.ly/4cegahU



Please take a look at this amazing research about single-cell reporter assays!

After a constructive set of reviews, our single-cell reporter work is OUT nature.com/articles/s4159… Check out the briefing if you want the tldr nature.com/articles/s4159… I am particularly fond of some of the new applications. Mini-update.



Congrats, Jenny!

Excited to share a review of lineage & molecular recording methods w/ potential applications in cutaneous biology in @theJIDJournal Thank you Jessica Ayers @CorySimpsonMD @JShendure for their support conceptualizing & writing! jidonline.org/article/S0022-…

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Amazing work led by an amazing scientist! Congrats, Xiaoyi!!

Our work on studying chromatin context-dependent regulation of prime editing is officially out on @Cell cell.com/cell/fulltext/…



Very cools papers about how to enable gene dosage-invariant expressions using a miRNA-based circuit!

Delivering and expressing a gene in cells is usually a messy (heterogeneous) process. The messiness interferes with research and applications such as gene therapy. In two new papers, we introduce a toolbox of synthetic miRNA-based control circuits that enable more precise, gene…

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Haedong Kim Reposted

Our paper on lineage motifs is now online at @Dev_Cell 😀 We hope that this approach will be widely useful for anyone interested in analyzing tree-type datasets!

Online now: Lineage motifs as developmental modules for control of cell type proportions dlvr.it/T2lKM6



Congrats to all involved! Really amazing work!

Our latest out today in @Nature We profiled 12 million single cells from mouse embryos spanning gastrulation to birth, defined cell type tree from zygote to birth, and unexpectedly found crazy fast changes within first hour of extrauterine life. OA PDF: rdcu.be/dyDAg



Haedong Kim Reposted

We (with @VinetteY and @JShendure) are thrilled to announce our new paper on the "human RA-gastruloid" model, showcasing morphologies and transcriptomes akin to E9.5 (mouse) or CS10-11 embryos (biorxiv.org/content/10.110…). (1/n)

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Haedong Kim Reposted

Structural variants (SV) impact more nucleotides per human genome than other forms of genetic variation. To better understand SV impact, we developed a method to 'shuffle' mammalian genomes and characterize them with single-cell resolution in a pool. biorxiv.org/content/10.110…


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